Labellerr

Name: Labellerr
Brand: Labellerr
Price: 499 USD
Rating: 4.7 (38 reviews)

Unclaimed

Accelerate AI model development with high-quality, automated data labeling and annotation for various data types.

AI Data Labeling Developer Tools Testing & QA

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4.7(38 across the web)

FreemiumVisit Website

Reviews onG2Capterra

38 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Significantly reduces time and cost for data preparation and AI model development.

Biggest con

Specific details on the extent of customization for custom export formats are not explicitly detailed.

TL;DR - Labellerr

Provides automated and model-assisted data labeling for various data types.
Accelerates AI model development with high-quality, 99% accurate labels.
Offers robust project management, advanced analytics, and MLOps integration.

Pricing: Free plan available

Best for: Growing teams

4.7/5 across review platforms

What is Labellerr?

Editorial review

Labellerr is a comprehensive data labeling and image annotation software designed to help AI teams prepare high-quality datasets efficiently. It leverages automated annotation, advanced analytics, and smart QA to process millions of images and thousands of hours of video in weeks, significantly reducing the time and cost associated with data preparation for AI models. The platform supports a wide range of data types including images, videos, PDFs, text, and audio, and integrates seamlessly with cloud services like AWS, GCP, and Azure. Labellerr offers features such as prompt-based labeling, model-assisted labeling, active learning, and robust project management with advanced analytics, ensuring 99% accurate labels and a 90% reduction in data preparation time. It also provides enterprise-grade security, MLOps integration, and flexible export formats to streamline the entire AI development pipeline.

Available on: Web

LCLouis CorneloupUpdated May 26, 2026 · how we evaluateSourcelabellerr.com ↗

Pros & Cons

Pros

Significantly reduces time and cost for data preparation and AI model development.
Achieves high accuracy (99%) in data labeling.
Supports a broad range of data types and annotation techniques.
Offers robust security and flexible hosting options.
Provides comprehensive project management and analytics for quality control.

Cons

Specific details on the extent of customization for custom export formats are not explicitly detailed.
The free plan has limitations on data credits and seats, suitable mainly for researchers or small projects.
Advanced features like IP Whitelisting and Whitelabeling are only available in the Enterprise plan.

Ratings Across the Web

4.7(38 reviews)

Ratings aggregated from independent review platforms. Learn more

Preview

Key Features

Automated Labeling (Prompt-based, Model-assisted, Active Learning)Support for multiple data types (images, videos, PDFs, text, audio)Smart Quality Assurance (pre-trained model and ground truth based)MLOps Integration (GCP Vertex AI, AWS Sagemaker, custom environments)Project Management with Advanced AnalyticsEnterprise-Grade Security & Privacy (Auth0, TLSv1.2+, AES-256 encryption)Flexible Data Export Formats (CSV, JSON, COCO, Pascal VOC, Custom)API Access with SDK

Pricing Plans

Researcher Plan

Free

2,500 files
1 seat
1 workspace
All data type support
100 projects

Pro Plan

$499 / mo

Everything in Free, plus:
50,000 data credits with the option to buy extra credits
10 seats and the option to add on extra seats
Unlimited projects
Advanced automation features (SAM, SAM 2, Active learning, and model-assisted labeling)
Human in the loop services

Enterprise Plan

Custom

Everything in Team, plus:
Multiple workspaces
Unlimited data credits and seats
Single sign-on (SSO)
Enterprise SLA & support
Private cloud & on-premise

Calculate your cost View full pricing

Reviews

4.7/5

Across 38 verified user reviews on G2, Capterra

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Best Labellerr Alternatives

Top alternatives based on features, pricing, and user needs.

LabelboxFreemium

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4.5

CVATFreemium

The industry-leading open data annotation platform for machine learning.

4.6

SuperAnnotatePaid

Bringing human intelligence to AI through expert data annotation and model evaluation.

3.9

Scale AIPaid

Building reliable AI systems for critical decisions and advanced agentic capabilities.

DataloopPaid

Modernize your data stack for the next wave of AI with a platform built for unstructured data and multimodal pipelines.

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Labellerr FAQ

What types of data can be labeled using Labellerr?

Labellerr supports a wide array of data types including images, videos, PDFs, text, and audio, allowing users to manage diverse project needs within a single platform.

How does Labellerr ensure the quality and accuracy of labels?

Labellerr employs a combination of automated annotation, advanced analytics, and smart QA processes, including pre-trained model-based and ground truth-based quality assurance, to achieve up to 99% accurate labels.

Can Labellerr integrate with existing cloud infrastructure and MLOps pipelines?

Yes, Labellerr allows users to connect datasets from cloud services like AWS, GCP, and Azure, and offers extensive integration support to push labeled data to AI development environments such as GCP Vertex AI, AWS Sagemaker, or custom-made systems.

What security measures does Labellerr implement to protect customer data?

Labellerr prioritizes data protection with enterprise-grade security. It uses Auth0 for authentication, TLSv1.2+ for data in transit, AES-256 encryption for all data at rest, and offers customer hosting options on preferred cloud platforms.

What are the options for exporting annotated data from Labellerr?

Annotated data can be exported in various formats with a single click, including CSV, JSON, COCO, Pascal VOC, and custom formats to fit specific project requirements.

Source: labellerr.com

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